Senior Staff Scientist, Data Science (Computational Biology & AI)

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

DESCRIPTION:

Join our team as a Senior Staff Scientist in Data Science (Computational Biology & AI), where you will drive innovation at the intersection of machine learning and life sciences. In this role, you will develop advanced computational and statistical methods to analyze large-scale biological datasets, enabling breakthroughs in proteomics, multi-omics, and translational research.

You will design and implement AI-driven models and data analysis workflows for complex biological systems, working closely with cross-functional teams of biologists, clinicians, and data scientists. This position offers the opportunity to contribute to high-impact scientific research, develop novel methodologies, and translate cutting-edge analytics into real-world scientific and clinical applications.

REQUIREMENTS:

Education & Experience
• Ph.D. in Applied Mathematics, Computational Biology, Bioinformatics, Computer Science, or related field
• 10+ years of experience in computational biology, bioinformatics, or data science in academia or industry
• Proven track record of leading data analysis in large-scale, multi-omics or proteomics projects

Technical Expertise
• Strong expertise in machine learning and statistical modeling, including deep learning (e.g., PyTorch) and Bayesian methods
• Advanced programming skills in Python, R, and/or Julia, with experience in scientific computing and data analysis
• Experience with large-scale biological data analysis, including proteomics, interactomics, or genomics datasets
• Hands-on experience with cloud and high-performance computing environments (e.g., AWS, SLURM, Docker)
• Strong knowledge of data integration, statistical inference, and multi-modal data analysis
• Familiarity with SQL and database systems (PostgreSQL, MySQL, etc.)

Scientific & Domain Expertise
• Deep understanding of molecular biology, proteomics, or systems biology
• Experience developing novel computational methods for emerging biological assays or experimental platforms
• Track record of scientific publications in high-impact journals and contribution to scientific communities

Leadership & Collaboration
• Demonstrated experience leading projects and mentoring scientists or data scientists
• Ability to define and communicate data science strategy to technical and non-technical stakeholders
• Experience collaborating across interdisciplinary teams (biology, engineering, data science)

Nice to Have
• Experience with multi-omics integration and cohort-scale data analysis
• Background in developing reusable data analysis frameworks or open-source contributions
• Experience supporting customer-facing scientific applications or consulting on data analysis strategies

• Ability to travel up to 25%
• Remote work flexibility available

Compensation and Benefits
The salary range estimated for this position based in California is $163,100.00-$217,400.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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